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Esteban Villalobos; Isabel Hilliger; Carlos Gonzalez; Sergio Celis; Mar Pérez-Sanagustín; Julien Broisin – Journal of Learning Analytics, 2024
Researchers in learning analytics have created indicators with learners' trace data as a proxy for studying learner behaviour in a college course. Student Approaches to Learning (SAL) is one of the theories used to explain these behaviours, distinguishing between deep, surface, and organized study. In Latin America, researchers have demonstrated…
Descriptors: Learning Analytics, Academic Achievement, Role Theory, Learning Processes
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Elissavet Papageorgiou; Jacqueline Wong; Mohammad Khalil; Annoesjka J. Cabo – Journal of Learning Analytics, 2025
Behavioural engagement as a predictor of academic success hinges on the interplay between effort and time. Exploring the longitudinal development of engagement is vital for understanding adaptations in learning behaviour and informing educational interventions. However, person-oriented longitudinal studies on student engagement are scarce.…
Descriptors: Learner Engagement, Student Behavior, Electronic Learning, Web Based Instruction
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Gómez-García, Melchor; Soto-Varela, Roberto; Boumadan, Moussa; Matosas-López, Luis – Interactive Learning Environments, 2023
The emergence of social networks in the university context has contributed to modify students' behaviour, conditioning their academic performance and learning preferences. The objective is to analyse the influence of the patterns of use of social networks when predicting the usefulness that university students, give to different digital…
Descriptors: Foreign Countries, College Students, Social Networks, Social Media
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Yirong Guo; Yifan Song; Jianpeng Guo – Education and Information Technologies, 2025
The digital transformation in education and the widespread use of mobile devices have blurred the boundaries between students' learning and entertainment, increasing the prevalence of cyberloafing among college students. To address the inconsistent effects of cyberloafing on academic achievement, this study proposed a curvilinear relationship…
Descriptors: Academic Achievement, College Students, Time Management, Cognitive Ability
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Tlili, Ahmed; Wang, Huanhuan; Gao, Bojun; Shi, Yihong; Zhiying, Nian; Looi, Chee-Kit; Huang, Ronghuai – Interactive Learning Environments, 2023
Online and open learning has recently been made prevalent in many regions in order to mitigate educational inequality and to enhance students' learning experiences and outcomes. Previous studies showed that students perform differently in the learning process, where cultural differences matter. However, little is known about how cultural…
Descriptors: Diversity, Cultural Differences, Behavior Patterns, Electronic Learning
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Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Fang, Jing; Yang, Zongkai; Sun, Jianwen; Wang, Meiyi; Hu, Mengwei – Interactive Learning Environments, 2023
Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students' knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns…
Descriptors: Computer Assisted Instruction, Concept Mapping, Student Attitudes, College Students
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Clara Margaça; José Carlos Sánchez-García; Brizeida Hernández Sánchez; Susana Lucas Mangas – International Journal of Sustainability in Higher Education, 2024
Purpose: To protect the environment and society, research on responsible behavior and personal values has increased. Values have been identified as important for understanding and predicting environmental preservation behaviors. The purpose of this study is to analyze the validity and reliability of the Environmental Portrait Value Questionnaire…
Descriptors: Universities, Conservation (Environment), Altruism, Self Concept
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Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
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Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
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Fang Zhang; Wenjun Yu; Hao Xu – SAGE Open, 2025
This paper reports on a study that investigates the impact of learning multiple foreign languages on learners' social emotional competence development as mediated by the number of foreign languages and the recency of the learning experience. A questionnaire survey that involved 465 Chinese learners of foreign languages was administered that…
Descriptors: Social Emotional Learning, Second Language Instruction, Second Language Learning, Student Surveys
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Haruna Abe; Kay Colthorpe; Pedro Isaias – Discover Education, 2025
To improve the online learning experience, adaptive learning technologies are being used to personalise learning content to suit individual learning needs, with learning analytics being integrated to collect data about the student usage behaviour on the platform. Research indicates that the adaptive learning platforms promote a supportive learning…
Descriptors: Physiology, Science Instruction, Instructional Design, Learning Management Systems
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Hendra Michael Aquan; Luisa Diana Handoyo; Antonius Tri Priantoro – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
This study examines environmental awareness at a university in Indonesia, focusing on knowledge, attitudes, and behaviors in seven environmental areas: climate, water, food, energy, natural resources, biodiversity, and waste. A total of 442 respondents (380 students, 42 lecturers, 20 educational staff) were surveyed using a Likert scale…
Descriptors: Environmental Education, Climate, Water, Food
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Iustina Alexandra Groza; Marius Ciprian Ceobanu; Cristina Maria Tofan – European Journal of Psychology of Education, 2024
Academic procrastination has been a subject of particular interest in research due to its frequent association with heightened levels of anxiety, stress, and the long-term risk of emotional and behavioural vulnerability (Hoge et al., 2013). Our study tests the correlation between motivational persistence as a trait and academic procrastination, as…
Descriptors: Study Habits, Females, Foreign Countries, Student Motivation
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Üstün, Emre; Ozer, Burcu – Cypriot Journal of Educational Sciences, 2020
Education methods to be used in the emotional, mental and psychological development of instrument education are of great importance in terms of education process. In this context, the training habits and self-efficacy developments of the students with their instruments can be supported by the accompaniment education process, thus increasing the…
Descriptors: Music Education, Musical Instruments, Behavior Patterns, Self Efficacy
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